Staff Apache Hive Engineer

TL;DR

Staff Apache Hive Engineer (Backend): Developing and optimizing large-scale data warehouse and batch analytics systems with an accent on Apache Hive, Spark, Iceberg, and Hadoop ecosystem. Focus on performance tuning, scalable architecture, and core contributions to open source projects.

Location: Remote (Global)

Company

hirify.global is a leading technology company delivering cutting-edge solutions to top clients worldwide, including Google, with a diverse team of the world's top 1% tech talent.

What you will do

• Contribute as a core developer to Apache Hive and related open source projects.
• Develop and optimize data warehouse solutions for large-scale analytical workloads.
• Enhance HiveQL query optimization and metastore architecture for improved performance.
• Improve integration of Hive with HDFS, Spark, and table formats like Iceberg.
• Collaborate with engineering teams on system integration and deployment.

Requirements

• 10+ years of software development experience.
• Advanced English proficiency (C1+).
• Strong expertise in data warehousing and large-scale batch processing systems.
• Deep understanding of Apache Hive architecture and Hadoop integration.
• Proficiency in Java and performance tuning of distributed systems.
• Core contributions to Apache open source projects (Hive, Spark, Hadoop, or similar).

Culture & Benefits

• Excellent compensation in USD or local currency.
• Paid parental leave, vacation, and national holidays.
• Innovative and multicultural work environment.
• Collaboration with global top 1% tech talent.
• Supportive environment with mentorship, promotions, and skill development.